Startup Stealth Mental Health AI
Founding Gen AI Engineer - Mental Health Startup
Startup Stealth Mental Health AI, San Francisco, California, United States, 94199
Founding Gen AI Engineer - Mental Health Startup
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Founding Gen AI Engineer at Stealth Mental Health Startup
This opportunity begins as an equity-only opportunity until we raise seed funding.
About We are a dynamic and ambitious early-stage startup operating in stealth mode within the rapidly evolving mental health space. We are leveraging the power of Generative AI to develop innovative solutions aimed at improving access to personalized mental wellness support, and enhancing patient experience with mental health professionals. This is a unique opportunity to shape the future of mental healthcare and be part of building an impactful company from the ground up.
Our leadership team includes experience from Apple, AWS, venture capital backed startups, leading consulting firms and our CEO has founded successful businesses in the mental health space previously.
Opportunity As a founding Gen AI engineer working for our Chief Technology Officer, you will be influential in making our company's vision and strategy real. You will be a key team member with a lot of responsibility to bring our groundbreaking Generative AI solution to market. This role demands a strong blend of creative technical thinking, willingness to innovate and collaborate with the co-founder. The opportunity will be especially relevant to someone who wants to fully leverage their capabilities and skills to address critical societal needs and do good by doing good.
Responsibilities
Architect and implement AI-driven solutions that integrate Large Language Models (LLMs), RAG and other AI technologies into our mental health applications that leverage unstructured data.
Collaborate with cross-functional teams to translate business needs into innovative customer‑facing solutions.
Optimize AI-powered features for both customer-facing and internal applications, ensuring peak performance and efficiency.
Independently design, build and deploy complex AI models, driving innovation in how AI is used in mental health.
Success in this role looks like
Leading the design and implementation of at least one significant GenAI-powered feature or service.
Establishing strong working relationships with executive leadership, product, data science, and healthcare teams.
Staying at the forefront of GenAI advancements and successfully integrating new technologies into our mental health application.
Requirements
5+ years of AI/ML experience, with demonstrable skills in Gen AI including experience designing, building and deploying AI models that rely on unstructured data.
Proven track record of integrating and working with state-of-the-art LLMs in production environments.
Strong foundation in Natural Language Processing (NLP) techniques and applications including RAG.
Deep understanding of data structures, algorithms, and software architecture.
Proficiency in major cloud platforms (AWS, GCP, or Azure), CI/CD pipelines, and DevOps practices.
Expertise in vector databases, efficient retrieval methods for LLMs, and familiarity with PostgreSQL.
Great if you have
Knowledge of healthcare or mental health data and regulations such as HIPAA.
Experience with containerization (Docker) and orchestration (Kubernetes).
Strong written and verbal communication skills.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries Technology, Information and Media
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Founding Gen AI Engineer at Stealth Mental Health Startup
This opportunity begins as an equity-only opportunity until we raise seed funding.
About We are a dynamic and ambitious early-stage startup operating in stealth mode within the rapidly evolving mental health space. We are leveraging the power of Generative AI to develop innovative solutions aimed at improving access to personalized mental wellness support, and enhancing patient experience with mental health professionals. This is a unique opportunity to shape the future of mental healthcare and be part of building an impactful company from the ground up.
Our leadership team includes experience from Apple, AWS, venture capital backed startups, leading consulting firms and our CEO has founded successful businesses in the mental health space previously.
Opportunity As a founding Gen AI engineer working for our Chief Technology Officer, you will be influential in making our company's vision and strategy real. You will be a key team member with a lot of responsibility to bring our groundbreaking Generative AI solution to market. This role demands a strong blend of creative technical thinking, willingness to innovate and collaborate with the co-founder. The opportunity will be especially relevant to someone who wants to fully leverage their capabilities and skills to address critical societal needs and do good by doing good.
Responsibilities
Architect and implement AI-driven solutions that integrate Large Language Models (LLMs), RAG and other AI technologies into our mental health applications that leverage unstructured data.
Collaborate with cross-functional teams to translate business needs into innovative customer‑facing solutions.
Optimize AI-powered features for both customer-facing and internal applications, ensuring peak performance and efficiency.
Independently design, build and deploy complex AI models, driving innovation in how AI is used in mental health.
Success in this role looks like
Leading the design and implementation of at least one significant GenAI-powered feature or service.
Establishing strong working relationships with executive leadership, product, data science, and healthcare teams.
Staying at the forefront of GenAI advancements and successfully integrating new technologies into our mental health application.
Requirements
5+ years of AI/ML experience, with demonstrable skills in Gen AI including experience designing, building and deploying AI models that rely on unstructured data.
Proven track record of integrating and working with state-of-the-art LLMs in production environments.
Strong foundation in Natural Language Processing (NLP) techniques and applications including RAG.
Deep understanding of data structures, algorithms, and software architecture.
Proficiency in major cloud platforms (AWS, GCP, or Azure), CI/CD pipelines, and DevOps practices.
Expertise in vector databases, efficient retrieval methods for LLMs, and familiarity with PostgreSQL.
Great if you have
Knowledge of healthcare or mental health data and regulations such as HIPAA.
Experience with containerization (Docker) and orchestration (Kubernetes).
Strong written and verbal communication skills.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries Technology, Information and Media
#J-18808-Ljbffr